METR paper says evidence cannot rule out rapid recursive self-improvement
imjustnewatai · x · 2026-07-23
A new METR paper models recursive self-improvement and asks whether stronger AI can accelerate algorithmic progress enough to make AI progress self-sustaining.
Its bottom line is cautious but notable: the evidence does not rule out an extended period of rapid capabilities acceleration.
Related event: METR Paper Explores Accelerating Effects of AI Recursive Self-Improvement(2 posts)→
More from AGI Musings
- François Fleuret: Only Two Long-Term Futures — No Super AI, or Staying Fully Human With It — francoisfleuret · 2026-09-11
- IG reel debunking the 'winning the AI race against China' fallacy hits 500k likes — louisvarge · 2026-09-11
- Post-AI World Leaves No Room for Learning on the Job — rachittshah · 2026-09-11
- Researcher questions AI safety eval firm, citing 'blatantly sloppy' security and monitoring — Kyrannio · 2026-09-11
- AI researcher memes agent-swarm tinkering with He Jiankui's embryo-editing quote — dejavucoder · 2026-09-11
- nabla_theta: happy to be wrong if the AI utopia arrives with little ex ante risk — nabla_theta · 2026-09-11